Adaptive Resource Block Allocation for Green 5G Wireless Communication Networks

Pimmy Gandotra, R. Jha
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引用次数: 1

Abstract

The most precious resource for the mobile network operators (MNOs) is the radio spectrum, cardinal for meeting the quality of service (QoS) requirements of the users. An integral technology of the budding fifth generation (5G) wireless communication networks (WCNs) is device-to-device (D2D) communication. To make use of the gains offered by D2D communication, optimal resource sharing with the cellular users in the network is necessitated. This paper proposes an adaptive resource block (RB) allocation scheme, using Hidden Markov Model (HMM), to assure adequate resource availability to each demanding D2D pair in the network. The adaptive allocation of resources improves the system throughput and energy efficiency (EE), meeting the QoS demands of the D2D pairs and fostering green communication. Since RB sharing is between pairs and cellular users, interference rises. The improvement in performance is achieved by sectoring the cellular coverage region, which diminishes the interference levels. The potency of the proposed adaptive scheme has been verified through simulations.
绿色5G无线通信网络的自适应资源块分配
无线频谱是移动网络运营商最宝贵的资源,是满足用户服务质量要求的基础。新兴的第五代(5G)无线通信网络(WCNs)的一项重要技术是设备到设备(D2D)通信。为了充分利用D2D通信的优势,需要优化网络中蜂窝用户的资源共享。本文提出了一种基于隐马尔可夫模型(HMM)的自适应资源块(RB)分配方案,以保证网络中每个需求D2D对的资源可用性。资源的自适应分配提高了系统吞吐量和能效,满足了D2D对的QoS需求,促进了绿色通信。由于RB共享是在对和蜂窝用户之间进行的,因此干扰会增加。性能的提高是通过分割蜂窝覆盖区域来实现的,这降低了干扰水平。仿真结果验证了该自适应方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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